The Internet of Things (IoT) solution for Asset Management empowers Green Cubes Material Handling and Aviation Ground Support Equipment (GSE) customers, to establish a connection between their human capital and assets through connected systems and process flows.

MAESTRO IoT Asset Management Platform

MAESTRO Web application serves as the IoT asset management platform for Green Cubes batteries and chargers used in Material Handling Equipment and Aviation GSE. MAESTRO improves overall productivity, maintenance of regulatory compliance, risk mitigation, asset monitoring from anywhere, anytime, and on any device.

IoT enables a centralized, cloud-based environment for automated collection, updating, and maintaining all data in one place rather than spread across multiple databases. The IoT-enabled tracking system allows facility managers and stakeholders to access data at once, thereby bringing coherence within departments.

MAESTRO’s Asset management is one of the differentiating factors that help warehouse and ground support operations gain a competitive advantage. Availability, performance, and quality of the Equipment are the three critical drivers for overall equipment effectiveness in these operations.

Following are MAESTRO’s key features:

1. Remote Asset Tracking: Using cloud-based technology, help facility managers and stakeholders to retrieve information of their deployed assets anytime, anywhere.
2. Asset Health/Condition Monitoring: Cost-efficient and proactive method to evaluate the various health indicators and associated risks. Help define events, alerts and policy execution that enable recommendations for improved asset health.
3. Asset Lifecycle Management: Comprehensive record of asset portfolio helping operations in optimizing the profit generated by the various assets throughout their lifecycle.

MAESTRO assists Material Handling and Aviation GSE operations to remain updated about all their assets, interpret asset use and condition by monitoring availability, performance, and quality of each of the asset / equipment. The operational cost of the asset reduces with the improvement in the uptime, utilization, and availability of the asset.

Asset health/condition monitoring provides real time visibility and leads to greater understanding of the asset utilization scenarios in each facility. This helps to plan and organize charging and usage schedules including opportunity charging more effectively to leverage off peak hours to optimize energy savings.

Customized charging schemes to reflect actual asset utilization leading to improved efficiency of operations. Strategizing improvements in asset health and lifecycle management has a direct impact on future capex investments.
So Opex is reduced by improving operations efficiency and Capex is reduced by improving the lifecycle of the equipment and better utilizing the assets.

Important display parameters can be configured using a filter and all parameters streamed by the BMS can be exported, including SoC (in %), Charge Current (in Amps), Discharge Current (in Amps), and Average Battery Temperature are the display parameters in this dashboard.

Material Handling and Aviation GSE operations using MAESTRO have the time and capabilities to assess the quality, quantity, location of assets to improve work processes, reduce waste, and prevent sudden equipment failure to maintain a cost-efficient system. Moreover, collecting inputs around operational and health parameters of different sub-systems operating inside or around the asset enables a framework to achieve higher asset utilization and uptime through predictive maintenance and equipment usage with the additional data about the application made available.

In addition, MAESTRO’s abilities can be extended to further achieve the following:

• Asset Workflow Automation: Build powerful automation capabilities depending on the applications to accelerate business processes, reduce errors, and increase operations efficiency and productivity.
• Predictive Asset Maintenance: Build data analytics capabilities to stay alert of your asset shutdowns and downtime by understanding the performance threshold and planning backup measures accordingly.